Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Yuk Feng Huang"'
Autor:
Yaxing Wei, Huzaifa Bin Hashim, Sai Hin Lai, Kai Lun Chong, Yuk Feng Huang, Ali Najah Ahmed, Mohsen Sherif, Ahmed El-Shafie
Publikováno v:
IEEE Access, Vol 12, Pp 10865-10885 (2024)
Deep learning excels at managing spatial and temporal time series with variable patterns for streamflow forecasting, but traditional machine learning algorithms may struggle with complicated data, including non-linear and multidimensional complexity.
Externí odkaz:
https://doaj.org/article/81f87b70401344f3a09a346c56796d1e
Autor:
Jing Lin Ng, Yuk Feng Huang, Aik Hang Chong, Jin Chai Lee, Muyideen Abdulkareem, Nur Ilya Farhana Md Noh, Majid Mirzaei, Ali Najah Ahmed
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 11, Pp 4183-4197 (2023)
Drought has been the main environmental issue in Peninsular Malaysia. Hence, this study undertook a thorough evaluation of drought assessment methodologies and focused on the temporal analysis of multiple drought indices, namely, the standardised pre
Externí odkaz:
https://doaj.org/article/e59f0d9f34964d41b9c9d5b1897828e1
Autor:
Sarmad Dashti Latif, Nur Alyaa Binti Hazrin, Chai Hoon Koo, Jing Lin Ng, Barkha Chaplot, Yuk Feng Huang, Ahmed El-Shafie, Ali Najah Ahmed
Publikováno v:
Alexandria Engineering Journal, Vol 82, Iss , Pp 16-25 (2023)
Using a comparison of three different major types, the best predictive model was determined. Statistical models and machine learning algorithms automatically learn and improve based on data. Deep learning uses neural networks to learn complex data pa
Externí odkaz:
https://doaj.org/article/56f7d5c7f2a54e67885be8ad0e4f9e3b
Autor:
Sarmad Dashti Latif, Vivien Lai, Farah Hazwani Hahzaman, Ali Najah Ahmed, Yuk Feng Huang, Ahmed H. Birima, Ahmed El-Shafie
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101872- (2024)
At Klang Valley, ground-level ozone is a significant source of air pollution. Ozone (O3) concentration is affected by meteorological conditions and air pollutants. Linear Regression Models (LRM), Regression Trees (RT), Support Vector Machines (SVM),
Externí odkaz:
https://doaj.org/article/de268a9feb854ee48fd5a587165f792e
Autor:
Yuk Feng Huang, Jing Lin Ng, Kit Fai Fung, Tan Kok Weng, Nouar AlDahoul, Ali Najah Ahmed, Mohsen Sherif, Barkha Chaplot, Kai Lun Chong, Ahmed Elshafie
Publikováno v:
Applied Water Science, Vol 13, Iss 10, Pp 1-25 (2023)
Abstract Natural calamities like droughts have harmed not just humanity throughout history but also the economy, food, agricultural production, flora, animal habitat, etc. A drought monitoring system must incorporate a study of the geographical and t
Externí odkaz:
https://doaj.org/article/bb5b9df082db450599916713ff554490
Autor:
Nouar AlDahoul, Mhd Adel Momo, K. L. Chong, Ali Najah Ahmed, Yuk Feng Huang, Mohsen Sherif, Ahmed El-Shafie
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-23 (2023)
Abstract Due to excessive streamflow (SF), Peninsular Malaysia has historically experienced floods and droughts. Forecasting streamflow to mitigate municipal and environmental damage is therefore crucial. Streamflow prediction has been extensively de
Externí odkaz:
https://doaj.org/article/e7e1bebfbed442bda3a4054d8c5c5833
Autor:
Stephen Luo Sheng Yong, Jing Lin Ng, Yuk Feng Huang, Chun Kit Ang, Majid Mirzaei, Ali Najah Ahmed
Publikováno v:
Water Supply, Vol 23, Iss 4, Pp 1672-1683 (2023)
Sensitivity analysis (SA) intends to identify the key meteorological variables that affect the performance of reference crop evapotranspiration (ET0) models. It is of importance in assessing the variability of meteorological variables and ET0, especi
Externí odkaz:
https://doaj.org/article/68db16092851419f9dc56a4d8725cb56
Autor:
Poornasuthra Subramaniam, Ali Najah Ahmed, Chow Ming Fai, Marlinda Abdul Malek, Pavitra Kumar, Yuk Feng Huang, Mohsen Sherif, Ahmed Elshafie
Publikováno v:
Cogent Engineering, Vol 10, Iss 1 (2023)
AbstractIt is critical to monitor water quality to keep water bodies ecologically healthy and facilitate the sustainable development of Kenyir Lake. Water quality differs temporally and spatially and is affected by several factors. Typically, water q
Externí odkaz:
https://doaj.org/article/6789a78c2d8f4fed969a62e0ce63500b
Autor:
Nur Alyaa Hazrin, Kai Lun Chong, Yuk Feng Huang, Ali Najah Ahmed, Jing Lin Ng, Chai Hoon Koo, Kok Weng Tan, Mohsen Sherif, Ahmed El-shafie
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19426- (2023)
In consideration of the distinct behavior of machine learning (ML) algorithms, six well-defined ML used were carried out in this study for predicting sea level on a day-to-day basis. Data compiled from 1985 to 2018 was utilized for training and testi
Externí odkaz:
https://doaj.org/article/5c759a3b2a4c4094bac2bf98ca45a402
Autor:
Nasrin Adlin Syahirah Kasniza Jumari, Ali Najah Ahmed, Yuk Feng Huang, Jing Lin Ng, Chai Hoon Koo, Kai Lun Chong, Mohsen Sherif, Ahmed Elshafie
Publikováno v:
Heliyon, Vol 9, Iss 8, Pp e18424- (2023)
Cities are growing geographically in response to the enormous increase in urban population; consequently, comprehending growth and environmental changes is critical for long-term planning. Urbanization transforms naturally permeable surfaces into imp
Externí odkaz:
https://doaj.org/article/4bae913bbcdc49df9a131ab38e837010